A Feature-Centric View of Information Retrieval

• Κύριος συγγραφέας: Metzler, Donald (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Σειρά: The Information Retrieval Series, 27
• Θέματα: Computer science.; Mathematical statistics.; Information storage and retrieval.; Computer science > Mathematics.; Computer mathematics.; Computer Science.; Information Storage and Retrieval.; Probability and Statistics in Computer Science.; Mathematical Applications in Computer Science.

Commercial Web search engines such as Google, Yahoo, and Bing are used every day by millions of people across the globe. With their ever-growing refinement and usage, it has become increasingly difficult for academic researchers to keep up with the collection sizes and other critical research issues...

Πίνακας περιεχομένων:

• Introduction
• Classical Retrieval Models
• Feature-Based Ranking
• Feature-Based Query Expanion
• Query-Dependent Feature Weighting
• Model Learning.